ASSESSING the COSTAL RISKS in DOHA MUNICIPALITY SPATIAL DEVELOPMENT PLANS THROUGH STRATEGIC ENVIRONMENTAL ASSESSMENT (SEA) [1] Elmalky, M

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ASSESSING the COSTAL RISKS in DOHA MUNICIPALITY SPATIAL DEVELOPMENT PLANS THROUGH STRATEGIC ENVIRONMENTAL ASSESSMENT (SEA) [1] Elmalky, M Elmalky, et al ASSESSING THE COSTAL RISKS IN DOHA MUNICIPALITY SPATIAL DEVELOPMENT PLANS THROUGH STRATEGIC ENVIRONMENTAL ASSESSMENT (SEA) [1] Elmalky, M. G.(1); Al-Ansi, M. A.(2) and Al-Marri, A. M. S.(3) 1) Department of Environmental Basic Sciences, Institute of environmental studies & research, Ain Shams University 2) Department of Biological & Environmental Sciences, College of Arts and Sciences, Qatar University 3) Laboratories section, Quality and Safety Department, Public Works Authorities, State of Qatar ABSTRACT Strategic Environmental Assessment (SEA) is designed to help countries to make their policies, plans and programs more sustainable. The aim of this research is to ensure that environmental considerations are fully integrated into a decision-making process at the earliest possible stages. Implementing SEA of spatial plans has the potential to reduce the negative environmental impacts and enhance the positive effects. Coasts of Doha are projected to be exposed to increasing risks, including coastal erosion, due to climate change and sea-level rise. The level of flooding in Qatar increases with the increase in sea level rise for the two climate change scenarios 2040 and 2100 (ICZMPCCSLR, 2014). This increase is associated with the increase in the impact on both socioeconomic and natural systems. Doha municipality spatial development plans must consider the flooding and sea-level rise of Doha’s coasts. Future iterations of the National Spatial Strategy and/or National Development Plan must recognize the increasing vulnerability of coastal populations to coastal and climate change risks, e.g. flooding and sea level rise and establish a strong institutional system for monitoring of coastal indicators, identifying and assessing in particular, the land subsidence in the coastal area. Strategic Environmental Assessment (SEA) for future development plans must Carrying out with strong follow up taking Sea Level Rise (SLR) into Vol.42, No.2, Jun. 2018 1 J. Environ. Sci. Institute of Environmental Studies and Research – Ain Shams University consideration and building up a strong early warning system and contingency plans against flooding. Key words: Doha, Qatar, sea, costal, msdp, flooding, sea level rise. INTRODUCTION Coastal areas are subject to intense pressures from a diverse range of sources. Coasts host many of the world’s major centers of commerce and represent highly desirable locations for residential, recreational and tourism related activities (Martínez et al., 2007). The rapid development of coastal areas is leading to a parallel increase in vulnerability of coastal hazards. Coastal hazards are “a function of the presence of human beings and their myriad activities in interaction with naturally occurring coastal processes” (Domurat and Wakeman, 1991, p. 92). These natural processes are construed as ‘coastal hazards’ as they may result in the loss of life or property. Many such hazards, such as coastal erosion, are natural continuous environmental processes which constantly remodel and reshape coastlines. Others, such as tsunamis, are more episodic and catastrophic in nature and often have immediate and dramatic effects. Vulnerability of coastal communities to such events is likely to be exacerbated by continuing population growth (Nicholls et al., 1999) and by the impacts of climate change (Duxbury and Dickinson, 2007). Coastal population growth, urbanization and expanding coastal tourism increase pressure on coastal environments, resulting in ecosystem degradation (Cooper and McKenna, 2009; Duxbury and Dickinson, 2007). This degradation reduces the long-term resilience of coastal systems (Duxbury and Dickinson, 2007) and increases the vulnerability of local inhabitants to coastal hazards. In terms of climate change impacts, the 2 Vol.42, No.2, Jun. 2018 Elmalky, et al Intergovernmental Panel on Climate Change states that “coasts are projected to be exposed to increasing risks, including coastal erosion, due to climate change and sea-level rise. The effect will be exacerbated by increasing human-induced pressures on coastal areas” (IPCC,2007). Location of the studied area: The state of Qatar is a peninsula with an area of 11,437 Km2, located halfway along the west coast of the Arabian Gulf, and projecting approximately 160 Km into the central zone of the Gulf along its north-south axis. Qatar is surrounded by the Arabian Gulf from the north and east, and by the gulf of Bahrain from the west. Present situation of the studied area: Qatar may lose around 3%, 8%, and 13% of its area if there is a sea level increase by 1m, 3m, and 5m respectively (AFED, 2009). The Ministry of Municipality and Urban Planning in Qatar recently conducted a study on climate change and sea level rise titled “Integrated Coastal Zone Management Plan for the State of Qatar” (ICZM- CCSLR, 2014). Vol.42, No.2, Jun. 2018 3 J. Environ. Sci. Institute of Environmental Studies and Research – Ain Shams University Fig(1): location Map of the studied area The study provided information about the impact of climate change on the whole coastal zone of Qatar. Sea level rise was also examined at a number of scenarios as projected by the IPCC in their fifth assessment (IPCC, 2013). The output of the two scenarios the mean sea level rise by 2100 was estimated to be 0.52 m for RCP 4.5 (Representative concentration pathway of medium coastal impact), and 0.74 m for RCP8.5 (Representative concentration pathway of high coastal impact). Mean Sea level rise is observed using different databases. Permanent Service for Mean Sea Level (PSMSL) is an instrumental data source; which is responsible for collection, interpretation and analysis of data. It has a global network of tide gauge. 4 Vol.42, No.2, Jun. 2018 Elmalky, et al Measurements are available from 1982 till 2010 (ICZMP-CCSLR, 2014). One of its stations is located inside the Arabian Gulf (Bahrain), called the Mina Sulman station. Figure 2 represents the trend in mean sea level rise between 1980-2010. The unit used was in mm. A linear trend is used to fit the gap between 1998 and 2003. The trend estimated 3.28 mm/year (±1.1 mm/ year) and 2.97 mm/year (±2.55 mm/year) for the periods 1982-2003 and 1993-2008 respectively. The gap in data between 1998 and 2003 increased the uncertainty of the trend estimation (ICZMP-CCSLR, 2014). Fig(2): The trend in mean sea level rises during time series 1980-2010 of the Mina Sulman station from the PSLMSL data set. The linear fitting and the confidence intervals (95%) (ICZM-CCSLR, 2014) Doha station located at Doha port is another source to estimate seal level rise changes. This tidal station gives measurement from 1976 to 2013. Figure 3 represents the linear trend produce from Doha station. The linear trend initially recorded 1.47 mm/year between period 1976-2013, but later revised the estimate to 2.8 mm/year for the periods 1993-2013 (ICZMP-CCSR, 2014). Vol.42, No.2, Jun. 2018 5 J. Environ. Sci. Institute of Environmental Studies and Research – Ain Shams University Fig(3): The linear trend in mean sea level produced by Doha station. The linear fitting and the confidence intervals (95%) (ICZM-CCSLR, 2014) The trend in mean sea level rise on local (Qatar) scale is summarized in Table 1. Local trend analysis is established from the climate change and sea level rise, study in Qatar (ICZM-CCSLR, 2014). Regional and global analysis are based on the intergovernmental fifth assessment report on climate change (IPCC, 2013), and other studies such as Ayhan and Alothman, 2009; Church and White, 2011; Nerem et al., 2010. The table describe the data used, the period, and any technical comment involved in trend calculation. Table(1): Summary of Local mean sea level Trends (ICZM-CCSLR, 2014) Trend Technical Data set Period (mm/year) Comments Mina Sulman Local estimation without Glacial 3.28±1.1 1983-2007 station (PSMSL isostatic adjustment (GIA) 2.97± 2.55 1993-2007 data set) correction 66% completeness Local estimation without Glacial 1.47± 0.69 1975 –2013 Doha Station isostatic adjustment( GIA) 2.8 ± 1.58 1993 –2013 correction annual records 6 Vol.42, No.2, Jun. 2018 Elmalky, et al According to the report current level of flooding in Qatar will increase with the increase in sea level rise for the two climate change scenarios 2040 and 2100 (ICZMPCCSLR, 2014). This increase is associated with the increase in the impact on both socioeconomic and natural systems. Coastal flooding of Doha City: The coastal flooding in Doha city is modeled by 2100 under RCP 4.5 and RCP 8.5 sea level projections. The model used to simulate coastal flooding is RFSM-EDA, a 2D flood model developed in HR Wallingford with sub-element topography. The hydraulic inundation process is modeled taking into account the ground elevation and topographic features (Romanowicz and Beven, 2003; Zhang and Cundy, 1989). Therefore, the result accuracy depends mainly on the quality of the digital elevation model (DEM). The outputs of the model are water-depth and velocities at each mesh element which permits to develop damage functions to evaluate the risk. Figure 4 shows the coastal flooding in the present climate, by 2040 and by 2100 for RCP 4.5 and RCP 8.5. The level to model the coastal flooding by 2040 is based on historical extrapolation of mean sea level. The level by 2100 is 0.52 m for the RCP4.5 and 0.73 m for the RCP8.5. It can be observed the higher spatial extension of coastal flooding and the higher water-depth by 2100 and for the scenario with very high greenhouse gas emissions (RCP8.5). Vol.42, No.2, Jun. 2018 7 J. Environ. Sci. Institute of Environmental Studies and Research – Ain Shams University Present Climate SLR Long-Term Trend 2040 SLR 2100 RCP4.5 SLR 2100 RCP8.5 Fig(4): Coastal flooding under different scenarios: Present Climate, by 2040 based on historical mean sea level extrapolation, by 2100 under RCP 4.5 mean sea level projections, by 2100 under RCP 8.5 mean sea level projections.
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